Short Version of the Assessment of Chronic Illness Care in Dutch Disease Management Programs
Author Information
Author(s): Cramm Jane M, Strating Mathilde MH, Tsiachristas Apostolos, Nieboer Anna P
Primary Institution: Institute of Health Policy & Management (iBMG), Erasmus University Rotterdam, The Netherlands
Hypothesis
The study aims to validate the Assessment of Chronic Illness Care (ACIC) in the Netherlands and to shorten the 34-item ACIC while maintaining its validity, reliability, and sensitivity to change.
Conclusion
The psychometric properties of the ACIC and the ACIC-S are good, making the ACIC-S a promising alternative instrument to assess chronic illness care.
Supporting Evidence
- The confirmatory factor analyses revealed good indices of fit with the resulting 21-item ACIC (ACIC-S).
- Internal consistency ranged from acceptable to excellent across subscales.
- Correlations between the ACIC and ACIC-S subscales were good, indicating acceptable coverage of the core areas of the Chronic Care Model.
- Paired t-tests showed significant improvements in ACIC scores over time in regions implementing Disease Management Programs.
Takeaway
This study created a shorter version of a tool to help doctors and healthcare teams check how well they are caring for patients with chronic illnesses, and it works well.
Methodology
The Dutch version of the ACIC was tested in 22 Disease Management Programs with 218 professionals using structural equation modeling to assess validity, reliability, and sensitivity to change.
Potential Biases
Potential bias due to self-reporting and the lack of a control group.
Limitations
The study did not include a control group, and the reliance on self-reported data may introduce bias.
Participant Demographics
The majority of participants were female (66%), with a mean age of 47.2 years, and most had been working for more than three years in their organization.
Statistical Information
P-Value
p<0.0001
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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